| BBMRI-ERIC directory: 515 biobanks with over 60 million biological samples P Holub, M Swertz, R Reihs, D van Enckevort, H Müller, JE Litton Biopreservation and biobanking 14 (6), 559-562, 2016 | 47 | 2016 |
| Towards the augmented pathologist: Challenges of explainable-ai in digital pathology A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ... arXiv preprint arXiv:1712.06657, 2017 | 35 | 2017 |
| Analysis of biomedical data with multilevel glyphs H Müller, R Reihs, K Zatloukal, A Holzinger BMC bioinformatics 15 (6), 1-12, 2014 | 31 | 2014 |
| The RD-Connect Registry & Biobank Finder: a tool for sharing aggregated data and metadata among rare disease researchers S Gainotti, P Torreri, CM Wang, R Reihs, H Mueller, E Heslop, M Roos, ... European Journal of Human Genetics 26 (5), 631-643, 2018 | 26 | 2018 |
| Machine learning and knowledge extraction in digital pathology needs an integrative approach A Holzinger, B Malle, P Kieseberg, PM Roth, H Müller, R Reihs, ... Towards Integrative Machine Learning and Knowledge Extraction, 13-50, 2017 | 21 | 2017 |
| IMP2/IGF2BP2 expression, but not IMP1 and IMP3, predicts poor outcome in patients and high tumor growth rate in xenograft models of gallbladder cancer SM Kessler, E Lederer, S Laggai, N Golob-Schwarzl, K Hosseini, ... Oncotarget 8 (52), 89736, 2017 | 20 | 2017 |
| State-of-the-art and future challenges in the integration of biobank catalogues H Müller, R Reihs, K Zatloukal, F Jeanquartier, R Merino-Martinez, ... Smart Health, 261-273, 2015 | 20 | 2015 |
| From the evaluation of existing solutions to an all-inclusive package for biobanks H Müller, N Malservet, P Quinlan, R Reihs, M Penicaud, A Chami, ... Health and technology 7 (1), 89-95, 2017 | 18 | 2017 |
| Adaptive visual symbols for personal health records H Muller, H Maurer, R Reihs, S Sauer, K Zatloukal 2011 15th International Conference on Information Visualisation, 220-225, 2011 | 13 | 2011 |
| Data driven GUI design and visualization for a NGS based clinical decision support system H Müller, R Reihs, AE Posch, A Kremer, D Ulrich, K Zatloukal 2016 20th International Conference Information Visualisation (IV), 355-360, 2016 | 10 | 2016 |
| Supporting the development of biobanks in low and medium income countries T Klingström, M Mendy, D Meunier, A Berger, J Reichel, A Christoffels, ... 2016 IST-Africa Week Conference, 1-10, 2016 | 10 | 2016 |
| Towards a deeper understanding of how a pathologist makes a diagnosis: Visualization of the diagnostic process in histopathology B Pohn, M Kargl, R Reihs, A Holzinger, K Zatloukal, H Müller 2019 IEEE Symposium on Computers and Communications (ISCC), 1081-1086, 2019 | 8 | 2019 |
| Connecting genes with diseases H Muller, R Reihs, S Sauer, K Zatloukal, M Streit, A Lex, B Schlegl, ... 2009 13th International Conference Information Visualisation, 323-330, 2009 | 8 | 2009 |
| Conception and implementation of an Austrian biobank directory integration framework P Hofer-Picout, H Pichler, J Eder, SB Neururer, H Müller, R Reihs, ... Biopreservation and biobanking 15 (4), 332-340, 2017 | 7 | 2017 |
| Visualization of histopathological decision making using a roadbook metaphor B Pohn, MC Mayer, R Reihs, A Holzinger, K Zatloukal, H Müller 2019 23rd International Conference Information Visualisation (IV), 392-397, 2019 | 6 | 2019 |
| BBMRI-ERIC’s contributions to research and knowledge exchange on COVID-19 P Holub, L Kozera, F Florindi, E van Enckevort, M Swertz, R Reihs, ... European Journal of Human Genetics 28 (6), 728-731, 2020 | 5 | 2020 |
| Pharmacologic IL-6Rα inhibition in cholangiocarcinoma promotes cancer cell growth and survival F Kleinegger, E Hofer, C Wodlej, N Golob-Schwarzl, AM Birkl-Toeglhofer, ... Biochimica et Biophysica Acta (BBA)-Molecular Basis of Disease 1865 (2), 308-321, 2019 | 5 | 2019 |
| NLP for the generation of training data sets for ontology-guided weakly-supervised machine learning in digital pathology R Reihs, B Pohn, K Zatloukal, A Holzinger, H Müller 2019 IEEE Symposium on Computers and Communications (ISCC), 1072-1076, 2019 | 2 | 2019 |
| A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer E Wulczyn, DF Steiner, M Moran, M Plass, R Reihs, H Mueller, ... Cancer Research 80 (16 Supplement), 2096-2096, 2020 | 1 | 2020 |
| Automatic classification of histopathological diagnoses for building a large scale tissue catalogue R Reihs, H Müller, S Sauer, K Zatloukal Health and technology 7 (1), 81-88, 2017 | 1 | 2017 |
Heimo MüllerMedical University GrazVerified email at medunigraz.at
